Visual Object Tracking On Vot201718
Metrics
Expected Average Overlap (EAO)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Expected Average Overlap (EAO) |
|---|---|
| fast-online-object-tracking-and-segmentation | 0.380 |
| tracking-holistic-object-representations | 0.4104 |
| object-tracking-using-siamese-network-based | 0.416 |
| siamrpn-evolution-of-siamese-visual-tracking | 0.414 |
| siamfc-towards-robust-and-accurate-visual | 0.428 |
| context-aware-deep-feature-compression-for | 0.137 |
| fast-visual-object-tracking-with-rotated | 0.446 |
| tracking-holistic-object-representations | 0.4160 |
| learning-spatial-aware-regressions-for-visual | 0.323 |
| discriminative-correlation-filter-with | 0.263 |
| eco-efficient-convolution-operators-for | 0.280 |
| learning-spatial-temporal-regularized | 0.345 |
| high-performance-visual-tracking-with-siamese | 0.383 |
| distractor-aware-siamese-networks-for-visual | 0.326 |
| towards-a-better-match-in-siamese-network | 0.337 |